AidanRocke

AidanRocke

"""
Created on Tue Mar 13 19:17:39 2018

@author: aidanrocke
"""

import tensorflow as tf
import numpy as np

AidanRocke

AidanRocke

from googletrans import Translator
from itertools import product
from pandas import DataFrame, read_csv
import numpy as np
import string
import time
import os

# Get google translator object
translator = Translator()

AidanRocke

AidanRocke

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 29 13:06:26 2018

@author: aidanrockea
"""
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp

AidanRocke

using LinearAlgebra
using Random

function local_convex_test(N)

	#srand(1234)

	sum = 0.0

AidanRocke

using LinearAlgebra
using Random

function circuit_complexity(N)

	radii = zeros(1,N);

	for i=1:N

AidanRocke

using Random

function crazy_paths(N,delta_t)

	ddx, dx = 10*(2*rand(N+1) .-1.0), 10*(2*rand(N+1) .-1.0)
	ddy, dy = 10*(2*rand(N+1) .-1.0), 10*(2*rand(N+1) .-1.0)

	x, y = 10*(2*rand(N+1) .-1.0), 10*(2*rand(N+1) .-1.0)

AidanRocke

using Distributions
using Statistics

function monotone_approx(N::Int64,n_trials::Int64,n::Int64)

	"""
		inputs:
			N: the range of U([-N,N])
			n_trials: the number of times we generate random vectors
			n: the 'dimension' of the random vector